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CPC
2006
110views more  CPC 2006»
13 years 8 months ago
Solving Sparse Random Instances of Max Cut and Max 2-CSP in Linear Expected Time
Abstract. We show that a maximum cut of a random graph below the giantcomponent threshold can be found in linear space and linear expected time by a simple algorithm. In fact, the ...
Alexander D. Scott, Gregory B. Sorkin
JMLR
2006
97views more  JMLR 2006»
13 years 8 months ago
Distance Patterns in Structural Similarity
Similarity of edge labeled graphs is considered in the sense of minimum squared distance between corresponding values. Vertex correspondences are established by isomorphisms if bo...
Thomas Kämpke
ICANN
2009
Springer
14 years 1 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
IPPS
1998
IEEE
14 years 21 days ago
NC Algorithms for the Single Most Vital Edge Problem with Respect to All Pairs Shortest Paths
For a weighted, undirected graph G = V;E where jVj = n and jEj = m, we examine the single most vital edge with respect to two measurements related to all-pairs shortest paths APSP....
Sven Venema, Hong Shen, Francis Suraweera
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 10 months ago
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...